Face Match API | 1:1 Face Comparison for KYC | Deepvue
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Face Match API · AI-Powered Comparison

Face Match API for Face Comparison & Identity Verification

Compare two facial images and support identity verification workflows using Deepvue’s Face Match API, built for real-time onboarding and authentication systems.

Built with AI-powered facial comparison infrastructure designed for scalable identity workflows

Trusted by platforms building identity verification systems

Organizations across industries use Deepvue APIs to automate identity verification workflows.

DollarPe
iMocha
Lark Finserv
NAMCO Bank
Nest
SafeTree
SwitchMyLoan
Times Internet
Yenmo
DollarPe
iMocha
Lark Finserv
NAMCO Bank
Nest
SafeTree
SwitchMyLoan
Times Internet
Yenmo
DollarPe
iMocha
Lark Finserv
NAMCO Bank
Nest
SafeTree
SwitchMyLoan
Times Internet
Yenmo
digital onboarding and KYC workflows identity authentication processes user verification in marketplaces and platforms account security and login verification real-time face comparison systems digital onboarding and KYC workflows identity authentication processes user verification in marketplaces and platforms account security and login verification real-time face comparison systems digital onboarding and KYC workflows identity authentication processes user verification in marketplaces and platforms account security and login verification real-time face comparison systems

What is a face match API?

A Face Match API compares two facial images and determines the similarity between them to support identity verification workflows.

This API is commonly referred to as
Face Match APIFace Comparison APIFace Compare APIFace Authentication API
Organizations use this API for
onboarding verification workflows
comparing user selfies with ID documents
authentication and login support
validating user-submitted images

The Deepvue Face Match API helps automate face comparison workflows and reduce manual verification efforts.

Why face matching matters

Identity workflows often rely on comparing a user’s face against a reference image such as ID documents, stored profile images, or onboarding photos. Manual verification is not scalable and prone to errors.

Manual face verification is
time-consuming
error-prone
difficult to scale
The Face Match API enables
real-time comparison workflows
improved accuracy
faster onboarding experiences
Two images in. Match result out.
AI-powered face comparison with confidence scoring, in milliseconds.

What this API enables

The Deepvue Face Match API enables organizations to:

Compare two images in one call

Send photo_a and photo_b to POST /v1/kyc/face-match and get a result back, no document parsing in between.

Accept or reject in one step

Branch onboarding straight off the result, with no scoring model of your own to build or train.

Tune strictness to your risk

Set one cutoff that fits your tolerance and route only borderline pairs to a human reviewer.

Check a selfie against an ID

Pass a user selfie as one image and an ID photo as the other to confirm the person matches the document.

Accept jpeg, png, or pdf

Both photo_a and photo_b take jpeg, png, or pdf inputs, so you forward whatever the user uploads.

How the API works

A four-step workflow from image submission to match result.

01

Submit images

Submit two images (photo_a and photo_b) through a secure API request as part of a consented user interaction or onboarding workflow.
02

Analyze features

The API analyzes facial features and patterns.
03

Compute score

A similarity score is computed.
04

Match result

A match result and confidence score are returned.

The match result and confidence score can be integrated into onboarding, authentication, or identity verification workflows.

Compare faces in real time.
Submit two images, get a match result with confidence scoring, instantly.

Consent and data handling

Face comparison workflows are designed for user-consented and lawful verification processes.

Developer preview

See how a single API call compares two facial images and returns a match result.

API Request
POST /v1/kyc/face-match
{
  "photo_a": "<image>",
  "photo_b": "<image>"
}
Input Parameters
photo_a
image, first image (jpeg/png/pdf)
photo_b
image, second image (jpeg/png/pdf)
API Response (Simplified)
{
  "data": {
    "match": true,
    "confidence": 100
  }
}
Compare faces at scale.
REST API. JSON output. Real-time processing. Go live in minutes.

Response fields

Structured fields returned for each face match comparison.

BOOL

match

Whether the faces match (true/false)
NUMBER

confidence

Similarity score percentage
Response fields may vary based on processing conditions.

Real-time face matching

The API is designed for real-time workflows.

Face comparison and identity workflows

The API supports a wide range of face comparison and identity verification use cases.

Image similarity Comparison

Comparing two images for similarity:

face comparison between two images
selfie-vs-ID image similarity
side-by-side facial image checks
user-provided image validation

Built for user-consented comparison workflows.

Match scoring Scoring

Face match scoring outputs:

boolean match decision
numeric confidence score
threshold-based acceptance
consistent scoring across requests

Supports deterministic downstream decisioning.

Identity workflows Identity

Identity verification workflows:

onboarding verification
authentication processes
account security checks
login verification

Designed for real-time identity verification.

AI-powered. Privacy-first. Production-ready.
Face comparison infrastructure built for real-time identity workflows.

Integration features and key capabilities

Everything you need to integrate, test, and scale face comparison.

Integration Features

REST API architecture

Standard REST endpoints.

JSON responses

Structured JSON outputs.

Real-time processing

Instant face comparison.

Scalable infrastructure

Processing that scales with request volume.
Key Features

Face match verification

Compare two images with confidence scoring.

Real-time processing

Enable instant comparison workflows.

Boolean and score outputs

Each response returns a match field and a confidence score.

Who uses this API

From KYC platforms to compliance systems, face comparison for every use case.

KYC and onboarding platforms

Support identity verification during onboarding.

Marketplaces

Validate user identities.

Enterprises

Authenticate employees and users.

Financial services

Enable identity workflows.

Security systems

Support authentication and access control.

Compliance and data governance

Deepvue provides infrastructure to enable face comparison and identity verification workflows.

Verification outputs are generated via
user-provided images
processing pipelines designed for comparison
compliant system architectures
These APIs are intended for use in
onboarding workflows
authentication processes
identity verification systems

Deepvue does not act as a data fiduciary for independent biometric profiling and does not claim ownership of underlying biometric data.

Applicable regulations
Digital Personal Data Protection Act (DPDP), 2023
Data protection & privacy
Information Technology Act, 2000
Electronic governance & cybersecurity

All API interactions are protected using encryption, access controls, and audit logging.

Flexible API pricing

Deepvue APIs are designed to scale with verification requirements.

Pricing typically depends on
verification volumeAPI usage tierspricing tiersintegration requirements

For organizations evaluating face match API pricing, face comparison API cost, or face authentication API for identity verification, our team provides customized pricing.

Frequently asked questions

Common questions about face match API integration, accuracy, and pricing.

What is a Face Match API?

A Face Match API compares two facial images and provides a similarity score to support identity verification workflows.

Can this API compare two photos?

Yes. The API compares two images and returns a match result and confidence score.

How accurate is face matching?

Accuracy depends on image quality and input conditions.

Do users need to provide images?

Yes. The API is designed to work with user-provided images as part of verification workflows.

What is face match API pricing?

Pricing depends on usage volume, integration requirements, and deployment scale.

Is Deepvue a Face Match API provider?

Deepvue provides APIs that enable organizations to compare facial images and support identity verification workflows through automated systems.

Start comparing facial images with secure and scalable workflows.

AI-powered comparison. Real-time results. Production-ready API.

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